Automated real-time damage detection strategy using raw dynamic measurements
Tài liệu tham khảo
Glanz J, et al. Genoa bridge collapse: the road to tragedy. New York Times, September 6, 2018. <https://www.nytimes.com/interactive/2018/09/06/world/europe/genoa-italy-bridge.html>.
Fan, 2011, Vibration-based damage identification methods: a review and comparative study, Struct Health Monit, 10, 83, 10.1177/1475921710365419
Sony, 2019, A literature review of next-generation smart sensing technology in structural health monitoring, Struct Control Health Monit, 26, 10.1002/stc.2321
Sadhua, 2017, A review of output-only structural mode identification literature employing blind source separation methods, Mech Syst Sig Process, 94, 415, 10.1016/j.ymssp.2017.03.001
Hua, 2009, Structural damage detection of cable-stayed bridges using changes in cable forces and model updating, J Struct Eng, 135, 1093, 10.1061/(ASCE)0733-9445(2009)135:9(1093)
Wang, 2012, Correlation-based damage detection for complicated truss bridges using multi-layer genetic algorithm, Adv Struct Eng, 15, 693, 10.1260/1369-4332.15.5.693
Koh, 2007, Structural health monitoring for flexible bridge structures using correlation and sensitivity of modal data, Comput Struct, 85, 117, 10.1016/j.compstruc.2006.09.005
Fallahian, 2018, Ensemble classification method for structural damage assessment under varying temperature, Struct Health Monit, 17, 747, 10.1177/1475921717717311
Entezami, 2018, An unsupervised learning approach by novel damage indices in structural health monitoring for damage localization and quantification, Struct Health Monit, 17, 325, 10.1177/1475921717693572
Vahedi, 2018, Application of Bayesian statistical method in sensitivity-based seismic damage identification of structures: Numerical and experimental validation, Struct Health Monit, 17, 1255, 10.1177/1475921718783360
Nair, 2007, Time series based structural damage detection algorithm using gaussian mixtures modeling, J Dyn Syst Meas Contr, 129, 285, 10.1115/1.2718241
Silva, 2008, Structural damage detection by fuzzy clustering, Mech Syst Sig Process, 22, 1636, 10.1016/j.ymssp.2008.01.004
Gul, 2009, Statistical pattern recognition for Structural Health Monitoring using time series modeling: theory and experimental verifications, Mech Syst Sig Process, 23, 2192, 10.1016/j.ymssp.2009.02.013
Figueiredo, 2010
Posenato, 2010, Methodologies for model-free data interpretation of civil engineering structures, Comput Struct, 88, 467, 10.1016/j.compstruc.2010.01.001
Alves, 2016, On the use of symbolic vibration data for robust structural health monitoring, Proc Inst Civil Eng - Struct Build, 169, 715, 10.1680/jstbu.15.00011
Jin, 2018, Vibration-based damage detection using online learning algorithm for output-only structural health monitoring, Struct Health Monit, 17, 727, 10.1177/1475921717717310
Hernandez-Garcia, 2007, Learning machines for structural damage detection
Cardoso, 2017, A robust methodology for modal parameters estimation applied to SHM, Mech Syst Sig Process, 2017, 24, 10.1016/j.ymssp.2017.03.021
Sadhu, 2012, A novel damage detection algorithm using time-series analysis-based blind source separation, Shock Vib, 20, 423, 10.1155/2013/237805
Cha, 2018, Unsupervised novelty detection–based structural damage localization using a density peaks-based fast clustering algorithm, Struct Health Monit, 17, 313, 10.1177/1475921717691260
Santos, 2014
Santos, 2017, Early damage detection based on pattern recognition and data fusion, J Struct Eng, 143, 10.1061/(ASCE)ST.1943-541X.0001643
Santos, 2015, Baseline-free real-time assessment of structural changes, Struct Infrastruct Eng: Mainten, Manage, Life-Cycle Des Perform, 11, 145, 10.1080/15732479.2013.858169
Alves, 2015, Structural modification assessment using supervised learning methods applied to vibration data, Eng Struct, 99, 439, 10.1016/j.engstruct.2015.05.003
Ichino, 1994, Generalized Minkowski metrics for mixed feature-type data analysis, IEEE Trans. Syst. Man Cybern., 24, 698, 10.1109/21.286391
Rousseeuw, 1987, Silhouettes: a graphical aid to the interpretation and validation of cluster analysis, J Comput Appl Math, 20, 53, 10.1016/0377-0427(87)90125-7
Kaufman, 2009
Calinski, 1974, A dendrite method for cluster analysis, Commun Stat, 3, 1
Rousseuw, 1993, Alternatives to the median absolute deviation, J Am Stat Assoc, 88, 1273, 10.1080/01621459.1993.10476408
Dyke J, et al. NEES: Database for Structural Control and Monitoring Benchmark Problems; 2015. <https://datacenterhub.org/resources/257>.
Dyke J, Bernal D, Beck J, Ventura C. Experimental phase II of the structural health monitoring benchmark problem; 2003.